76 search results - page 3 / 16 » Negative Results for Active Learning with Convex Losses |
COLT
2007
Springer
15 years 3 months ago
2007
Springer
In the present paper, we study the problem of aggregation under the squared loss in the model of regression with deterministic design. We obtain sharp oracle inequalities for conve...
JMLR
2010
14 years 8 months ago
2010
We extend the well-known BFGS quasi-Newton method and its memory-limited variant LBFGS to the optimization of nonsmooth convex objectives. This is done in a rigorous fashion by ge...
88
Voted
PCM
2004
Springer
15 years 2 months ago
2004
Springer
Inspired by the human immune system, and in particular the negative selection algorithm, we propose a learning mechanism that enables the detection of abnormal activities. Three ty...
79
Voted
ICIP
2004
IEEE
15 years 11 months ago
2004
IEEE
Image classification is an important task in computer vision. However, how to assign suitable labels to images is a subjective matter, especially when some images can be categoriz...
SDM
2008
SIAM
14 years 11 months ago
2008
SIAM
This paper presents a stagewise least square (SLS) loss function for classification. It uses a least square form within each stage to approximate a bounded monotonic nonconvex los...